Towards Music-Aware Virtual Assistants
We propose a system for modifying spoken notifications in a manner that is sensitive to the music a user is listening to. Spoken notifications provide convenient access to rich information without the need for a screen. Virtual assistants see prevalent use in hands-free settings such as driving or exercising, activities where users also regularly enjoy listening to music. In such settings, virtual assistants will temporarily mute a user’s music to improve intelligibility. However, users may perceive these interruptions as intrusive, negatively impacting their music-listening experience. To address this challenge, we propose the concept of music-aware virtual assistants, where speech notifications are modified to resemble a voice singing in harmony with the user’s music. We contribute a system that processes user music and notification text to produce a blended mix, replacing original song lyrics with the notification content. In a user study comparing musical assistants to standard virtual assistants, participants expressed that musical assistants fit better with music, reduced intrusiveness, and provided a more delightful listening experience overall.
Authors
- Alexander Wang (ORCID: https://orcid.org/0009-0001-4353-4737)
- Chris Donahue (ORCID: https://orcid.org/0009-0007-6825-6327)
- David Lindlbauer (ORCID: https://orcid.org/0000-0002-0809-9696)
Institutions
- Carnegie Mellon University (US)
Publication Details
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1145/3654777.3676416
- Citations
- 3
- Primary Topic
- Music and Audio Processing
- Type
- article
- Field-Weighted Citation Impact
- 1.05